Course title

Elastic Certified Observability Engineer

Certification for experts who can implement observability to monitor and react to events anywhere.

Course summary

Upcoming update August 29, 2023 to version 8.2. To prepare for the updated exam we recommend reading through our FAQ and viewing the exam topics. If you are planning to take the Elastic Certified Observability Engineer exam on version 7.9.2, it must be scheduled and taken prior to August 29, 2023.


The Elastic Certified Observability Engineer exam tests your knowledge and skills on using the Elastic Stack to implement observability, from ingesting metrics, logs, APM and uptime data to a single data source, to analyzing and reacting to events using Kibana, machine learning, and alerting.


To best prepare for this exam, we highly encourage participants to attend the Elastic Observability Engineer training course.


Check out our Certification FAQ for general questions or  email, certification@elastic.co



Topics

This exam will be updated to version 8.2 on August 29, 2023. New topics are marked with * and topics to be removed in the new version are marked with -.


To be fully prepared for the Elastic Certified Observability Engineer exam, candidates should be able to complete all of the following exam objectives with only the assistance of Elastic documentation


Uptime

  • Configure and run Heartbeat to determine the uptime of a process or service -
  • Install the Elastic Agent to collect metrics *
  • Use Heartbeat to determine if a service is reachable via ICMP, TCP or HTTP
  • Use the Uptime app in Kibana to monitor the uptime and availability of a service

Metrics

  • Configure and run Metricbeat to collect metrics from an operating system
  • Enable and configure a Metricbeat module to collect the metrics of a specific service -
  • Enable and configure integrations to collect the metrics of a specific service *
  • Use the Metrics app in Kibana to analyze and answer questions about metrics collected in Elasticsearch
  • Configure Metricbeat to gather Stack Monitoring data -
  • Use the Metrics app to enable and analyze the predefined machine learning jobs *

Logging

  • Configure and run Filebeat to collect system logs -
  • Install the Elastic Agent to collect logs *
  • Enable and configure a Filebeat module to collect the logs from a specific service -
  • Enable and configure integrations to collect the logs from a specific service *
  • Configure and run Filebeat to tail a given log file -
  • Enable and configure integrations to tail a given custom log file *
  • Use the Logs app in Kibana to analyze and answer questions about log events collected in Elasticsearch
  • Use the Logs app to view and analyze the predefined machine learning jobs for log events -
  • Use the Logs app to enable and analyze the predefined machine learning jobs *
  • Configure Filebeat to gather Stack Monitoring data -

APM

  • Configure an APM Server to send data to an Elasticsearch cluster -
  • Use the APM app in Kibana to analyze and answer questions about APM data collected in Elasticsearch *
  • Enable RUM on an APM Server -
  • Use the Real Experience app in Kibana to analyze and answer questions about RUM data collected in Elasticsearch *
  • Use the APM app in Kibana to analyze and answer questions about APM data collected in Elasticsearch -
  • Edit and configure the APM integration *

Structuring and Processing Data

  • Use Kibana to edit or define an ingest node pipeline
  • Configure Metricbeat or Filebeat to use an ingest pipeline -
  • Configure the custom logs integration to use an ingest pipeline *
  • Define ingest node pipelines that use the various processors, including (but not limited to) append, convert, date, dissect, dot expander, geoip, grok, fail, json, remove, rename, set, and split
  • Define an ingest node pipeline that loads event data from an existing Elasticsearch index -

Working with Observability Data

  • Find anomalies in Observability data using the predefined machine learning jobs in Kibana
  • Define a machine learning job in Kibana on Observability data
  • Define or edit an Index Lifecycle Management policy for indices
  • Define an alert using Kibana Alerts
  • Create dashboards that use visualizations based on Observability data *

 

Topics

Audience

Duration

Pre-Reqs

Requirements

See full, ,Elastic Certified Observability Engineer Exam, ,schedule

Course type

On-Demand

Course details

Language
English
Cost
500.00 USD